A multi-objective car sequencing problem on two-sided assembly lines

Parames Chutima () and Sathaporn Olarnviwatchai
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Parames Chutima: Chulalongkorn University
Sathaporn Olarnviwatchai: Chulalongkorn University

Journal of Intelligent Manufacturing, 2018, vol. 29, issue 7, No 13, 1617-1636

Abstract: Abstract The car sequencing problem consists of sequencing a given set of cars to be produced in each day. This paper presents an application of the extended coincident algorithm (COIN-E), which is an instance of the estimation of distribution algorithms, to a multi-objective car sequencing problem on a more realistic platform, i.e. two-sided assembly lines. Three conflicting objectives are optimised simultaneously in a Pareto sense including minimise the number of paint colour changes, minimise the total number of ratio constraint violations and minimise the utility work. The performances of COIN-E are compared with COIN (its original version), NSGA II, DPSO and BBO. The results reveal that COIN-E is superior to the other contestant algorithms in both solution quality and diversity.

Keywords: Car sequencing problem; Two-sided assembly line; Pareto optimum (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s10845-016-1201-6

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